Article
Unsupervised machine-learning identifies clinically distinct subtypes of ALS that reflect different genetic architectures and biological mechanisms
2023-06-13
Abstract excerpt
<h4>Background</h4> Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterised by a highly variable clinical presentation and multifaceted genetic and biological bases that translate into great patient heterogeneity. The identification of homogeneous subgroups of patients in terms of both clinical presentation and biological causes, could favour the development of effective treatments,...
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Identifiers and source
- Literature Corpus work
- ed821f65-7171-5dbc-a235-96e5eff5e394
- DOI
- 10.1101/2023.06.12.23291304
